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Automatic detection of brain contours in MRI data sets

  • 4. Segmentation: Specific Applications
  • Conference paper
  • First Online:
Information Processing in Medical Imaging (IPMI 1991)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 511))

Abstract

An algorithm is presented for fully automated detection of brain contours from single-echo 3-D coronal MRI data. The technique detects structures in a head data volume in a hierarchical fashion. Detections consist of histogram-based thresholding operation, followed by a morphological cleanup procedure of the binary threshold mask images. Anatomic knowledge, essential for the discrimination between desired and undesired structures, is implemented through a sequence of conventional and new morphological operations. Innovative use of 3-D distance transformations allows implicit evaluation of anatomic relationships for structure recognition. Overlap tests between neighbouring slice images are used to propagate coherent 2-D brain masks through the third dimension. A summary of results of testing the algorithm on 23 test data sets is presented, with a discussion of potential for clinical application and generalization to other problems, and of limitations of the technique.

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Author information

Authors and Affiliations

  1. Department of Radiology, Emory University School of Medicine, Atlanta, GA, USA

    M E Brummer

  2. School of Electrical Engineering, Georgia Institute of Technology, Atlanta, GA, USA

    R M Mersereau

  3. Carlyle Fraser Heart Center, Emory University Hospital at Crawford Long, Atlanta, GA, USA

    R L Eisner

  4. Department of Psychiatry, Emory University School of Medicine, Atlanta, GA, USA

    R R J Lewine

Authors
  1. M E Brummer
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  2. R M Mersereau
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  3. R L Eisner
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  4. R R J Lewine
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Editor information

Alan C. F. Colchester David J. Hawkes

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© 1991 Springer-Verlag Berlin Heidelberg

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Brummer, M.E., Mersereau, R.M., Eisner, R.L., Lewine, R.R.J. (1991). Automatic detection of brain contours in MRI data sets. In: Colchester, A.C.F., Hawkes, D.J. (eds) Information Processing in Medical Imaging. IPMI 1991. Lecture Notes in Computer Science, vol 511. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0033753

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  • DOI: https://doi.org/10.1007/BFb0033753

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54246-9

  • Online ISBN: 978-3-540-47521-7

  • eBook Packages: Springer Book Archive

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